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Aurea Edna Moreno-Mojica

dblp:190/5406 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-3352-3225ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 61% Integrated circuit design · 39%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › physical design › power delivery network design
decoupling capacitor optimization
0.612022
Frequency- and Time-Domain Yield Optimization of a Power Delivery Network Subject to Large Decoupling Capacitor Tolerances · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Integrated circuit design
power delivery network
0.612022
Frequency- and Time-Domain Yield Optimization of a Power Delivery Network Subject to Large Decoupling Capacitor Tolerances · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Electronic design automation › design for manufacturability › design for yield
yield enhancement
0.612022
Frequency- and Time-Domain Yield Optimization of a Power Delivery Network Subject to Large Decoupling Capacitor Tolerances · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Integrated circuit design › power delivery network
voltage regulator
0.212022
Frequency- and Time-Domain Yield Optimization of a Power Delivery Network Subject to Large Decoupling Capacitor Tolerances · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022

Methods — techniques the papers use, named apart from their topics

yield estimation · 0.6statistical analysis · 0.6frequency-domain and time-domain optimization · 0.6
YearPublicationVenuePosition
2022 Frequency- and Time-Domain Yield Optimization of a Power Delivery Network Subject to Large Decoupling Capacitor Tolerances
abstract
Suboptimal design of power delivery networks (PDNs) may cause performance deterioration and severe functional failures on high-speed computer platforms. Voltage regulators (VRs) distribute controlled voltage in the PDN to the active devices, providing a steady power supply at a desired DC voltage level with an acceptable noise level or ripple. Unacceptable voltage drops can be caused by transient switching currents at the devices. Many decoupling capacitors are commonly used to lower the PDN impedance profile in order to reduce power supply noise and to supply fast transient current to switching devices. However, commercially available decoupling capacitors typically present large manufacturing variability. In this article, we first propose an optimization methodology that gradually finds the best compensation parameter values of a buck converter VR to meet suitable stability criteria. Simultaneously, the number of parallel decoupling capacitors in the PDN is minimized while meeting a frequency-domain impedance profile specification and a time-domain minimum voltage droop requirement under nominal parameter values. Finally, a statistical analysis, yield estimation, and yield optimization of the nominally optimized PDN subject to large decoupling capacitor tolerances is presented. We consider the impedance profile, transient voltage droop, and VR stability as the responses of interest for yield calculation.
Aurea Edna Moreno-Mojica, José Ernesto Rayas-Sánchez
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1